{"id":22619,"date":"2026-08-31T11:05:24","date_gmt":"2026-08-31T11:05:24","guid":{"rendered":"https:\/\/www.tarluz.com\/?p=22619"},"modified":"2026-08-31T11:05:24","modified_gmt":"2026-08-31T11:05:24","slug":"infiniband-vs-ethernet-which-is-better-for-ai-networking","status":"publish","type":"post","link":"https:\/\/www.tarluz.com\/ru\/infiniband\/infiniband-vs-ethernet-which-is-better-for-ai-networking\/","title":{"rendered":"InfiniBand vs. Ethernet: Which Is Better for AI Networking?"},"content":{"rendered":"<p class=\"ds-markdown-paragraph\"><span class=\"\">When building AI infrastructure, the networking choice is often one of the most strategic decisions\u2014it determines whether thousands of GPUs work together as a unified supercomputer or become a collection of expensive, isolated processors. Today, InfiniBand and Ethernet are the two dominant options, each with distinctly different design philosophies and use cases.<\/span><\/p>\n<hr \/>\n<h3><span class=\"\">InfiniBand: A Purpose\u2011Built Network for Performance<\/span><\/h3>\n<p class=\"ds-markdown-paragraph\"><span class=\"\">InfiniBand originated from supercomputing and is purpose\u2011built for high\u2011performance computing (HPC) and large\u2011scale AI training clusters. Its core advantages lie in several areas:<\/span><\/p>\n<ul>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Native RDMA<\/span><\/strong><span class=\"\">: Data can be transferred directly between memory without CPU involvement, avoiding the overhead of the traditional TCP\/IP stack.<\/span><\/p>\n<\/li>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Lossless Transmission<\/span><\/strong><span class=\"\">: A credit\u2011based flow control mechanism ensures that senders transmit data only after confirming that the receiver has available buffers, fundamentally eliminating packet loss.<\/span><\/p>\n<\/li>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Ultra\u2011Low Latency<\/span><\/strong><span class=\"\">: End\u2011to\u2011end latency can be as low as sub\u2011microsecond (&lt;1 \u00b5s), with switch latency under 300 nanoseconds.<\/span><\/p>\n<\/li>\n<\/ul>\n<p class=\"ds-markdown-paragraph\"><span class=\"\">As a result, InfiniBand has long dominated ultra\u2011large\u2011scale AI training and HPC workloads. OpenAI has reported that GPT\u20114 training finished up to 40% faster with InfiniBand compared to their initial Ethernet\u2011based attempts, attributed to InfiniBand&#8217;s superior congestion control.<\/span><\/p>\n<hr \/>\n<h3><span class=\"\">Ethernet: Open Ecosystem and Cost Advantages<\/span><\/h3>\n<p class=\"ds-markdown-paragraph\"><span class=\"\">Ethernet is the most widely adopted networking standard in data centers, with a mature multi\u2011vendor ecosystem. In recent years, technologies such as RoCEv2 (RDMA over Converged Ethernet), Priority Flow Control (PFC), and Explicit Congestion Notification (ECN) have significantly narrowed the performance gap with InfiniBand.<\/span><\/p>\n<ul>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Significantly Lower Cost<\/span><\/strong><span class=\"\">: InfiniBand hardware is roughly three times more expensive than Ethernet switches. Some analyses indicate that while InfiniBand offers about 15% better performance, its total cost of ownership (TCO) is 2.3 times that of Ethernet.<\/span><\/p>\n<\/li>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Open Ecosystem<\/span><\/strong><span class=\"\">: Avoids vendor lock\u2011in, allowing flexible combinations of equipment from multiple vendors.<\/span><\/p>\n<\/li>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Ultra Ethernet Consortium (UEC)<\/span><\/strong><span class=\"\">: The UEC 1.0 specification, released in June 2025, aims to redesign the networking stack to achieve performance comparable to InfiniBand.<\/span><\/p>\n<\/li>\n<\/ul>\n<hr \/>\n<h3><span class=\"\">Key Comparison<\/span><\/h3>\n<div class=\"ds-scroll-area ds-scroll-area--show-on-focus-within ds-scroll-area--enabled _1210dd7 c03cafe9\">\n<div class=\"ds-scroll-area__gutters\">\n<div class=\"ds-scroll-area__horizontal-gutter\"><\/div>\n<div class=\"ds-scroll-area__vertical-gutter\"><\/div>\n<\/div>\n<table>\n<thead>\n<tr>\n<th><span class=\"\">Dimension<\/span><\/th>\n<th><span class=\"\">InfiniBand<\/span><\/th>\n<th><span class=\"\">Ethernet (RoCEv2)<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align: center;\"><strong><span class=\"\">Design Philosophy<\/span><\/strong><\/td>\n<td style=\"text-align: center;\"><span class=\"\">Dedicated high\u2011performance interconnect<\/span><\/td>\n<td style=\"text-align: center;\"><span class=\"\">General\u2011purpose networking technology<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong><span class=\"\">RDMA<\/span><\/strong><\/td>\n<td style=\"text-align: center;\"><span class=\"\">Native<\/span><\/td>\n<td style=\"text-align: center;\"><span class=\"\">RoCEv2<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong><span class=\"\">Latency<\/span><\/strong><\/td>\n<td style=\"text-align: center;\"><span class=\"\">~1 \u00b5s<\/span><\/td>\n<td style=\"text-align: center;\"><span class=\"\">~1.5\u20132 \u00b5s<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong><span class=\"\">Flow Control<\/span><\/strong><\/td>\n<td style=\"text-align: center;\"><span class=\"\">Credit\u2011based lossless mechanism<\/span><\/td>\n<td style=\"text-align: center;\"><span class=\"\">PFC + ECN<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong><span class=\"\">Cost<\/span><\/strong><\/td>\n<td style=\"text-align: center;\"><span class=\"\">High (hardware ~3\u00d7)<\/span><\/td>\n<td style=\"text-align: center;\"><span class=\"\">Low<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong><span class=\"\">Ecosystem<\/span><\/strong><\/td>\n<td style=\"text-align: center;\"><span class=\"\">NVIDIA\u2011dominated, relatively closed<\/span><\/td>\n<td style=\"text-align: center;\"><span class=\"\">Multi\u2011vendor, open<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"text-align: center;\"><strong><span class=\"\">Typical Use Cases<\/span><\/strong><\/td>\n<td style=\"text-align: center;\"><span class=\"\">AI training, HPC<\/span><\/td>\n<td style=\"text-align: center;\"><span class=\"\">Inference, cloud computing, enterprise applications<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<hr \/>\n<h3><span class=\"\">How to Choose?<\/span><\/h3>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">There is no absolute winner; the choice depends on specific needs.<\/span><\/strong><\/p>\n<ul>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Choose InfiniBand when<\/span><\/strong><span class=\"\">: You are building ultra\u2011large\u2011scale AI training clusters (e.g., 256+ GPUs), have extreme requirements for latency and deterministic performance, have sufficient budget, and are comfortable with a single\u2011vendor ecosystem.<\/span><\/p>\n<\/li>\n<li>\n<p class=\"ds-markdown-paragraph\"><strong><span class=\"\">Choose Ethernet when<\/span><\/strong><span class=\"\">: You are deploying AI inference, mixed workloads, cloud computing, and enterprise applications; you are cost\u2011sensitive and value vendor flexibility; or you are running medium\u2011scale training clusters.<\/span><\/p>\n<\/li>\n<\/ul>\n<p class=\"ds-markdown-paragraph\"><span class=\"\">A noteworthy trend is that AI cluster networking is increasingly moving toward\u00a0<\/span><strong><span class=\"\">hybrid architectures<\/span><\/strong><span class=\"\">\u2014using InfiniBand for training and Ethernet for inference. Meanwhile, market data also shows Ethernet catching up rapidly: in 2025, Ethernet switches already accounted for more than twice the revenue of InfiniBand in AI back\u2011end networks; in Q1 2026, Ethernet comprised roughly two\u2011thirds of data center switch sales for AI clusters. NVIDIA&#8217;s own Spectrum\u2011X Ethernet platform has also gained adoption from customers such as Meta and Oracle.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>When building AI infrastructure, the networking choice is often one of the most strategic decisions\u2014it determines whether thousands of GPUs work together as a unified supercomputer or become a collection of expensive, isolated processors. Today, InfiniBand and Ethernet are the two dominant options, each with distinctly different design philosophies and use cases. InfiniBand: A Purpose\u2011Built [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1717,1943],"tags":[],"class_list":["post-22619","post","type-post","status-publish","format-standard","hentry","category-ai","category-infiniband"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.3 (Yoast SEO v28.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>InfiniBand vs. Ethernet: Which Is Better for AI Networking? - TARLUZ - FIBER OPTIC SUPPLIERS<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.tarluz.com\/ru\/infiniband\/infiniband-vs-ethernet-which-is-better-for-ai-networking\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"InfiniBand vs. Ethernet: Which Is Better for AI Networking?\" \/>\n<meta property=\"og:description\" content=\"When building AI infrastructure, the networking choice is often one of the most strategic decisions\u2014it determines whether thousands of GPUs work together as a unified supercomputer or become a collection of expensive, isolated processors. 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